3D ordinal constraint in spatial configuration for robust scene recognition. - Ching Lik Teo; Shimiao Li; Loong Fah Cheong; Ju Sun (ICPR, 2008)

Hierarchical spatio-temporal context modeling for action recognition. - Ju Sun; Xiao Wu 004; Shuicheng Yan; Loong Fah Cheong; Tat-Seng Chua; Jintao Li 001 (CVPR, 2009)

Randomized Locality Sensitive Vocabularies for Bag-of-Features Model. - Yadong Mu; Ju Sun; Tony X. Han; Loong Fah Cheong; Shuicheng Yan (ECCV (3), 2010)

Robust Low-Rank Subspace Segmentation with Semidefinite Guarantees. - Yuzhao Ni; Ju Sun; Xiaotong Yuan; Shuicheng Yan; Loong Fah Cheong (ICDM Workshops, 2010)

Activity recognition using dense long-duration trajectories. - Ju Sun; Yadong Mu; Shuicheng Yan; Loong Fah Cheong (ICME, 2010)

Selective Image Super-Resolution - Ju Sun; Qiang Chen 007; Shuicheng Yan; Loong Fah Cheong (CoRR, 2010)

Closed-Form Solutions to A Category of Nuclear Norm Minimization Problems - Guangcan Liu; Ju Sun; Shuicheng Yan (CoRR, 2010)

Efficient Point-to-Subspace Query in ℓ1 with Application to Robust Face Recognition. - Ju Sun; Yuqian Zhang; John Wright 001 (ECCV (4), 2012)

Efficient Point-to-Subspace Query in ℓ1 with Application to Robust Face Recognition - Ju Sun; Yuqian Zhang; John Wright 001 (CoRR, 2012)

Efficient Point-to-Subspace Query in ℓ1: Theory and Applications in Computer Vision - Ju Sun; Yuqian Zhang; John Wright 001 (CoRR, 2012)

Robust Recovery of Subspace Structures by Low-Rank Representation. - Guangcan Liu; Zhouchen Lin; Shuicheng Yan; Ju Sun; Yong Yu 001; Yi Ma 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Efficient Point-to-Subspace Query in ℓ1 with Application to Robust Object Instance Recognition. - Ju Sun; Yuqian Zhang; John Wright 001 (SIAM J. Imaging Sci., 2014)

Complete Dictionary Recovery Using Nonconvex Optimization. - Ju Sun; Qing Qu 001; John Wright 001 (ICML, 2015)

Complete Dictionary Recovery over the Sphere. - Ju Sun; Qing Qu 001; John Wright 001 (CoRR, 2015)

When Are Nonconvex Problems Not Scary? - Ju Sun; Qing Qu 001; John Wright 001 (CoRR, 2015)

Finding a Sparse Vector in a Subspace: Linear Sparsity Using Alternating Directions. - Qing Qu 001; Ju Sun; John Wright 001 (IEEE Trans. Inf. Theory, 2016)

When Are Nonconvex Optimization Problems Not Scary? - Ju Sun (2016)

A Local Analysis of Block Coordinate Descent for Gaussian Phase Retrieval. - David Barmherzig; Ju Sun (CoRR, 2017)

Complete Dictionary Recovery Over the Sphere I: Overview and the Geometric Picture. - Ju Sun; Qing Qu 001; John Wright 001 (IEEE Trans. Inf. Theory, 2017)

Complete Dictionary Recovery Over the Sphere II: Recovery by Riemannian Trust-Region Method. - Ju Sun; Qing Qu 001; John Wright 001 (IEEE Trans. Inf. Theory, 2017)

Dictionary Learning in Fourier Transform Scanning Tunneling Spectroscopy. - Sky Cheung; John Y. Shin; Yenson Lau; Zhengyu Chen; Ju Sun; Yuqian Zhang; John Wright 001; Abhay Pasupathy (CoRR, 2018)

A Geometric Analysis of Phase Retrieval. - Ju Sun; Qing Qu 001; John Wright 001 (Found. Comput. Math., 2018)

Subgradient Descent Learns Orthogonal Dictionaries. - Yu Bai 017; Qijia Jiang; Ju Sun (ICLR (Poster), 2019)

Holographic Phase Retrieval and Optimal Reference Design. - David A. Barmherzig; Ju Sun; Emmanuel J. Candès; T. J. Lane; Po-Nan Li (CoRR, 2019)

Dual-Reference Design for Holographic Coherent Diffraction Imaging. - David A. Barmherzig; Ju Sun; Emmanuel J. Candès; T. J. Lane; Po-Nan Li (CoRR, 2019)

Inverse Problems, Deep Learning, and Symmetry Breaking. - Kshitij Tayal; Chieh-Hsin Lai; Vipin Kumar 001; Ju Sun (CoRR, 2020)

Self-Validation: Early Stopping for Single-Instance Deep Generative Priors. - Taihui Li; Zhong Zhuang; Hengyue Liang; Le Peng; Hengkang Wang; Ju Sun (BMVC, 2021)

Towards Low-Photon Nanoscale Imaging: Holographic Phase Retrieval via Maximum Likelihood Optimization. - David A. Barmherzig; Ju Sun (CoRR, 2021)

A Prospective Observational Study to Investigate Performance of a Chest X-ray Artificial Intelligence Diagnostic Support Tool Across 12 U.S. Hospitals. - Ju Sun; Le Peng; Taihui Li; Dyah Adila; Zach Zaiman; Genevieve B. Melton; Nicholas Ingraham; Eric Murray; Daniel Boley; Sean Switzer; John L. Burns; Kun Huang; et al. (CoRR, 2021)

Phase Retrieval using Single-Instance Deep Generative Prior. - Kshitij Tayal; Raunak Manekar; Zhong Zhuang; David Yang; Vipin Kumar 001; Felix Hofmann; Ju Sun (CoRR, 2021)

Rethink Transfer Learning in Medical Image Classification. - Le Peng; Hengyue Liang; Taihui Li; Ju Sun (CoRR, 2021)

NCVX: A User-Friendly and Scalable Package for Nonconvex Optimization in Machine Learning. - Buyun Liang 001; Ju Sun (CoRR, 2021)

Optimization for Robustness Evaluation beyond 𝓁p Metrics. - Hengyue Liang; Buyun Liang 001; Ying Cui; Tim Mitchell; Ju Sun (CoRR, 2022)

NCVX: A General-Purpose Optimization Solver for Constrained Machine and Deep Learning. - Buyun Liang 001; Tim Mitchell; Ju Sun (CoRR, 2022)

Imbalanced Classification in Medical Imaging via Regrouping. - Le Peng; Yash Travadi; Rui Zhang 028; Ying Cui; Ju Sun (CoRR, 2022)

Evaluation of federated learning variations for COVID-19 diagnosis using chest radiographs from 42 US and European hospitals. - Le Peng; Gaoxiang Luo; Andrew Walker; Zachary Zaiman; Emma K. Jones; Hemant Gupta; Kristopher Kersten; John L. Burns; Christopher A. Harle; Tanja Magoc; Benjamin Shickel; Scott D. Steenburg; et al. (J. Am. Medical Informatics Assoc., 2022)

Rethinking Transfer Learning for Medical Image Classification. - Le Peng; Hengyue Liang; Gaoxiang Luo; Taihui Li; Ju Sun (BMVC, 2023)

Practical phase retrieval using double deep image priors. - Zhong Zhuang; David Yang; Felix Hofmann; David Barmherzig; Ju Sun (Computational Imaging, 2023)

Deep Random Projector: Accelerated Deep Image Prior. - Taihui Li; Hengkang Wang; Zhong Zhuang; Ju Sun (CVPR, 2023)

Implications of Solution Patterns on Adversarial Robustness. - Hengyue Liang; Buyun Liang 001; Ju Sun; Ying Cui; Tim Mitchell (CVPR Workshops, 2023)

Robust Autoencoders for Collective Corruption Removal. - Taihui Li; Hengkang Wang; Le Peng; Xian'e Tang; Ju Sun (ICASSP, 2023)

Random Projector: Efficient Deep Image Prior. - Taihui Li; Zhong Zhuang; Hengkang Wang; Ju Sun (ICASSP, 2023)

Optimization for Robustness Evaluation Beyond ℓp Metrics. - Hengyue Liang; Buyun Liang 001; Ying Cui; Tim Mitchell; Ju Sun (ICASSP, 2023)

Direct Metric Optimization for Imbalanced Classification. - Yash Travadi; Le Peng; Ying Cui; Ju Sun (ICHI, 2023)

Welfare and Fairness Dynamics in Federated Learning: A Client Selection Perspective. - Yash Travadi; Le Peng; Xuan Bi; Ju Sun; Mochen Yang (CoRR, 2023)

A Cross-institutional Evaluation on Breast Cancer Phenotyping NLP Algorithms on Electronic Health Records. - Sicheng Zhou; Nan Wang; Liwei Wang 010; Ju Sun; Anne H. Blaes; Hongfang Liu; Rui Zhang 028 (CoRR, 2023)

Optimization and Optimizers for Adversarial Robustness. - Hengyue Liang; Buyun Liang 001; Le Peng; Ying Cui; Tim Mitchell; Ju Sun (CoRR, 2023)

Predicting the Future of the CMS Detector: Crystal Radiation Damage and Machine Learning at the LHC. - Bhargav Joshi; Taihui Li; Buyun Liang 001; Roger Rusack; Ju Sun (CoRR, 2023)

A Systematic Evaluation of Federated Learning on Biomedical Natural Language Processing. - Le Peng; Sicheng Zhou; Jiandong Chen; Rui Zhang 028; Ziyue Xu; Ju Sun (CoRR, 2023)

A proximal augmented Lagrangian based algorithm for federated learning with global and local convex conic constraints. - Chuan He; Le Peng; Ju Sun (CoRR, 2023)

Early Stopping for Deep Image Prior. - Hengkang Wang; Taihui Li; Zhong Zhuang; Tiancong Chen; Hengyue Liang; Ju Sun (Trans. Mach. Learn. Res., 2023)

DMPlug: A Plug-in Method for Solving Inverse Problems with Diffusion Models. - Hengkang Wang; Xu Zhang; Taihui Li; Yuxiang Wan; Tiancong Chen; Ju Sun (NeurIPS, 2024)

What is Wrong with End-to-End Learning for Phase Retrieval? - Wenjie Zhang; Yuxiang Wan; Zhong Zhuang; Ju Sun (CoRR, 2024)

An in-depth evaluation of federated learning on biomedical natural language processing for information extraction. - Le Peng; Gaoxiang Luo; Sicheng Zhou; Jiandong Chen; Ziyue Xu; Ju Sun; Rui Zhang 028 (npj Digit. Medicine, 2024)

A blockchain-based smart contract model for secured energy trading management in smart microgrids. - Xiaole Su; Yuanchao Hu; Wei Liu 005; Zhipeng Jiang; Chan Qiu; Jie Xiong; Ju Sun (Secur. Priv., 2024)

Federated Learning with Convex Global and Local Constraints. - Chuan He; Le Peng; Ju Sun (Trans. Mach. Learn. Res., 2024)

Selective Classification Under Distribution Shifts. - Hengyue Liang; Le Peng; Ju Sun (Trans. Mach. Learn. Res., 2024)

Blind Image Deblurring with Unknown Kernel Size and Substantial Noise. - Zhong Zhuang; Taihui Li; Hengkang Wang; Ju Sun (Int. J. Comput. Vis., 2024)

A Unified Analysis of AdaGrad With Weighted Aggregation and Momentum Acceleration. - Li Shen 008; Congliang Chen; Fangyu Zou; Zequn Jie; Ju Sun; Wei Liu 005 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Interpretable deep learning methods for multiview learning. - Hengkang Wang; Han Lu; Ju Sun; Sandra E. Safo (BMC Bioinform., 2024)

A Baseline Method for Removing Invisible Image Watermarks using Deep Image Prior. - Hengyue Liang; Taihui Li; Ju Sun (Trans. Mach. Learn. Res., 2025)

Temporal-Consistent Video Restoration with Pre-trained Diffusion Models. - Hengkang Wang; Yang Liu; Huidong Liu; Chien-Chih Wang; Yanhui Guo; Hongdong Li; Bryan Wang; Ju Sun (CoRR, 2025)

Exact Reformulation and Optimization for Direct Metric Optimization in Binary Imbalanced Classification. - Le Peng; Yash Travadi; Chuan He; Ying Cui; Ju Sun (CoRR, 2025)